Multimodal Route Segment Optimization for Real-Time Network Planning
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Solution Overview
Problem
Existing systems for managing multimodal operations rely on computationally expensive global optimization strategies that inefficiently reprocess entire routes when localized changes occur, lacking the ability to apply lightweight, segment-specific heuristics for real-time decision-making.
Innovation Solution
An apparatus and method using a network optimizer to generate optimized multimodal unit operations by locally optimizing route segments based on segment parameters, real-time data, and entity preferences, with a graphical user interface for visualization and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If global optimization strategies are used to manage multimodal operations, then comprehensive route optimization is achieved, but computational cost and processing time increase significantly
Solution Approach 1:
The patent divides the global optimization problem into smaller local optimization problems by segmenting the route into individual segments. Each segment is optimized independently using lightweight heuristics, eliminating the need to reprocess entire routes when localized changes occur. This segmentation resolves the contradiction by maintaining optimization quality at the segment level while dramatically reducing computational cost.
Solution Approach 2:
The patent applies different optimization approaches to different parts of the system: global optimization for overall route planning and local heuristics for segment-specific adjustments. This local quality principle allows the system to use computationally efficient local optimizations for segment modifications while preserving the benefits of comprehensive optimization where needed, thus reducing overall computational cost without sacrificing route optimization quality.
2Reliability
If global optimization strategies are used to manage multimodal operations, then comprehensive route optimization is achieved, but real-time decision-making capability deteriorates
Solution Approach 1:
By segmenting the optimization problem, the system can make real-time decisions at the segment level using lightweight heuristics that execute quickly, while maintaining overall route optimization quality through the coordinated segmentation approach. This enables real-time decision-making without sacrificing optimization quality.
Solution Approach 2:
The patent applies partial optimization actions (local heuristics) to segment modifications rather than performing complete global optimization for every change. This partial action approach provides sufficient optimization quality for real-time decisions while achieving the speed necessary for real-time operation.
3Manufacturing precision
If entire routes are reprocessed when localized changes occur, then optimization accuracy is maintained, but resource utilization efficiency decreases
Solution Approach 1:
The patent segments the route into independent optimization units, allowing localized changes to be optimized only in the affected segments rather than reprocessing entire routes. This maintains optimization accuracy at the segment level while dramatically improving resource utilization efficiency by avoiding unnecessary reprocessing of unaffected segments.
Solution Approach 2:
The patent extracts the optimization process from a monolithic global operation into separable local operations. By taking out the segment-specific optimization logic, the system can apply optimization only where needed, maintaining accuracy while improving resource utilization by eliminating redundant computations in unaffected areas.
Data Source
AI summary
An apparatus and method for generating an optimized operation of a multimodal unit as a function of a network optimizer. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive entity data from an entity database, retrieve port data from a port node, identify a geolocation of a multimodal unit, generate one or more routes of the multimodal unit as a function of a target temporal datum and real-time data, determine an optimized route of the one or more routes based on the target temporal datum, the real-time data, and an assignment of an operator and display a visualization of the optimized operation.